As #AI adoption continues to surge across industries, the global demand for high-performance #GPU infrastructure is rising faster than ever. The growth patterns reveal key insights for future-ready strategies. Curious where the momentum is building? Check out the full

As #AI workloads continue to challenge computational boundaries, effective #GPU cooling is pivotal for optimizing performance, enhancing efficiency, and advancing sustainability in data center infrastructure. In our latest blog, we explore the evolution of GPU cooling

AI agents are getting smarter in reasoning, planning, and acting in real time. Behind it all is #GPU infrastructure, powering the scale, speed, and complexity modern agents demand. We’ve visualized how GPUs enable the shift from static models to dynamic, #multimodal AI agents

Congratulations to OpenAI on the release of gpt-oss and its efforts in advancing the open-source #AI ecosystem! It represents a significant step toward the practical, scalable deployment of generative AI across cloud, local, and edge environments. We’re also excited to share

Whether you're training LLM or deploying real-time inference, understanding the role of GPUs is essential to building modern AI systems. Our latest piece breaks down the role of GPUs in AI from training large models to powering real-time inference written for beginners who want

Choosing the right foundation model is more than size or architecture, it’s about aligning capabilities with your use case. Whether building chat assistants, summarizing documents, enabling semantic search, or powering multimodal reasoning, NVIDIA NIMs offer GPU optimized

NVIDIA Inference Microservices (#NIMs) make it easier to deploy foundation models by packaging them into ready-to-use containers. These containers are optimized for performance, scalable across environments, and accessible through standard APIs. Bitdeer AI provides NIMs on our

Confused about Generative AI, AI Agents, and Agentic AI? These terms are often used interchangeably, but each represents a distinct paradigm in the evolution of intelligent systems. This visual guide highlights the real differences, including definitions, key features, and how

In previous posts we explored various aspects of AI agents, including their types, capabilities, and business use cases. Today we highlight the core foundation of what powers them: AI infrastructure. LLMs, vector databases, and real-time APIs require more than generic cloud

Agentic AI is evolving fast. We’re seeing a clear shift toward modular architectures, where lightweight models handle structured tasks efficiently, while larger models focus on complex reasoning. It’s not #SLM vs. #LLM — it’s both, working together. Intelligently coordinating

AI adoption in APAC is accelerating, creating both opportunities and challenges for business and technology leaders. Our latest infographic highlights the current landscape, emerging trends, and recommendations to help organizations stay ahead. 💡 See how companies across the

The Bitdeer AI x GECO Hackathon " Hack to Hire" officially kicked off today! Co-hosted with GECO Asia Pte Ltd, a leading IT consultancy with 18+ years of experience in #AI, Blockchain, Cloud, and Data, this #hackathon brings together local talents to solve real business problems

Smarter #AI #agents start with smarter design, not just bigger models. In our latest blog, we break down the essential patterns behind agentic AI - enabling reasoning, tool use, planning, and collaboration. If you’re building AI for real-world impact, dive into these insights:

From raw data to user value, AI systems are built on a layered foundation: data, compute, models, applications, and users. Each layer plays a distinct role in shaping outcomes, and together they determine how effectively AI delivers value. Curious how each layer impacts the AI

🎉The Bitdeer AI x GECO Asia Hackathon “Hack to Hire” concluded with an exciting final pitch day! Over the course of the event, participants showcased how AI can be applied to tackle real business challenges, combining upskilling knowledge of AI with innovative thinking. Teams

We’re excited to bring NVIDIA’s powerful #B200 GPUs to our #AI cloud. This new add-ons delivers next-generation performance for AI training, inference and high-performance computing. Designed for scalability and efficiency, B200 instances help you push the boundaries of your

AI agents are becoming more autonomous, but without guardrails autonomy can turn risky. Guardrails ensure agents act safely, align with business rules, and maintain user trust. They are not barriers to innovation but the foundation for scaling it responsibly. Read our latest

From model size to memory efficiency, the right #GPU strategy determines how effectively your #AI performs. Our latest infographic breaks down the essentials of aligning compute with model performance, empowering teams to achieve greater efficiency, scalability, and impact. 🔹